Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A14B779B091B537063F61CAB8D01BAD60F3AA3DDDA71848E6FC43BC27D5D59B282448 |
|
CONTENT
ssdeep
|
3072:Sl90wt4ciKYwYOfdmzCrTCz/rdv35gD4YA3QMYST2gjU5QOGvi6XyRjfJPJnYeFJ:S/4m6ifPBYOhvaw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9cc92939a636966 |
|
VISUAL
aHash
|
f7f3d3d3cbcbc7cf |
|
VISUAL
dHash
|
06062632161e1f1e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07202000040 |
|
VISUAL
cropResistant
|
06062632161e1f1e,2b5d9db1a6a6a3a5 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 540 techniques to evade detection by security scanners and make reverse engineering more difficult.